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Prendersi cura del paziente nel fine vita attraverso trattamenti cosmetologici per migliorare la qualità di vita e diminuire dolore
How Job Crafting Dimensions Differentially Moderate the Translation of Work Conditions into Stress Perceptions
Job crafting—employees’ proactive modification of their work—has gained attention as a potential stress management strategy. This study examined how job crafting dimensions moderate relationships between work conditions and stress perceptions. Integrating Effort–Reward Imbalance and Job Demands–Resources models, we tested whether three job crafting dimensions (increasing structural resources, social resources, and challenging demands) moderate the translation of factual work conditions into stress perceptions. Survey data from 376 Italian employees revealed that factual effort and reward indicators positively predicted their perceived counterparts. Contrary to expectations, increasing structural resources amplified rather than buffered the effort perception relationship, suggesting that certain crafting strategies may heighten rather than reduce awareness of work demands. As hypothesized, increasing social resources buffered the effort relationship and strengthened the reward relationship. Increasing challenging demands showed no significant moderating effects. These findings reveal that job crafting dimensions have differential rather than uniformly positive effects on stress perception processes. While social crafting appears consistently beneficial, structural crafting may have unintended consequences under certain conditions. Organizations should recognize that job crafting interventions require nuanced implementation. The study advances theory by demonstrating boundary conditions for job crafting effectiveness and challenging assumptions about its uniformly positive effects
AI LITERACY: AN EXPLORATIVE ANALYSIS OF ITALIAN UNIVERSITY STUDENT’S PERCEPTIONS OF AI SKILLS
This paper analyzes university students' perceptions of the use of ChatGPT, the AI conversational system developed and released in 2022 by OpenAI. Based on a survey of 23,000 students across 109 countries (with a focus on an Italian sub-sample of 1180), the study investigates AI literacy (understanding, academic application, creative use) and its educational implications. Results indicate a positive correlation between AI literacy and the perceived effectiveness of ChatGPT as a learning tool
Training Cognitive Functions Using DUAL-REHAB, a New Dual-Task Application in MCI and SMC: A Study Protocol of a Randomized Control Trial
Background: Current research on Alzheimer’s Disease has progressively focused on Mild Cognitive Impairment (MCI) as a pre-dementia state, as well as on Subjective Memory Complaint (SMC), as a potential early indicator of cognitive change. Consequently, timely interventions to prevent cognitive decline are essential and are most effective when combined with motor training. Nevertheless, motor-cognitive dual-task training often employs non-ecological tasks and is confined to clinical contexts lacking generalizability to daily life. The integration of 360° media could overcome these limitations. Therefore, the aim of the current work is twofold: (a) to present a dual-task training using 360° technology for its interactivity, versatility, and ecological validity, and (b) to propose a protocol to test its efficacy through a randomized clinical trial. Methods: This study will recruit 90 older adults (MCI and SMC). Participants will follow two phases of training: in-hospital rehabilitation and at-home rehabilitation. The experimental design will follow a 2 × 3 × 2 structure with 3 factors: type of treatment (360° training vs. traditional rehabilitation), time (baseline, post in-hospital training, and post at-home training), and group (SMC vs. MCI). Results: The expected outcome is an improvement in cognitive and motor functioning after the experimental training. Conclusion: This study will advance the literature on non-pharmacological interventions and innovative technological tools for cognitive trainings in the early stages of cognitive decline
Matching in the Mortgage Market (Chapter 5)
This chapter focuses on the search and matching process in the mortgage market. Most people need a mortgage to buy a home but many of them cannot obtain one. Indeed, it is often more difficult to obtain a mortgage from the bank than it is to find a desired house that is for sale. This depends on both the limited monetary capacity of buyers, and constraints and conditions set by the bank. The simple model developed in this chapter clearly shows a “vicious circle” in the mortgage market: people ask for the granting of more mortgages, and banks grant more mortgages when their profits increase; however, the increase in the banks’ profits implies more stringent conditions for obtaining a mortgage
La nuova disciplina del c.d. whistleblowing come strumento di prevenzione della corruzione
Nel presente contributo si analizza la nuova disciplina del c.d. whistleblowing – entrata in vigore con
il d.lgs. n. 24 del 2023 attuativo della Direttiva europea n. 1937/19 – come nuovo strumento di
prevenzione della corruzione. Invero, la protezione di chi segnala fatti pregiudizievoli, di cui è
venuto a conoscenza in ambito lavorativo, può apparire una misura utile per contrastare e preve-
nire gli accordi corruttivi e la cattiva amministrazione nel settore pubblico. Le informazioni fornite
dal segnalante minano, da un lato, la fase genetica di intese corruttive; dall’altro, possono portare
all’indagine, all’accertamento e al perseguimento di fatti corruttivi o para-corruttivi, consentendo
l’emersione di tali fenomenologie criminali
Dynamic modelling of a small-scale hybrid concentrated solar-biomass trigeneration system for residential applications and comparison of operational strategies
As the operations of buildings account for 30% of global final energy consumption and 26% of global energy-related emissions, hybrid solar-biomass trigeneration systems offer a pathway to sustainable and decentralised energy solutions for residential applications. Therefore, in this study, the performance of an innovative micro-scale plant consisting of a 20 kWel/100 kWth Organic Rankine Cycle (ORC) system powered by a 440 m2 Linear Fresnel Reflectors solar field and a 130 kWth biomass boiler, integrated with latent and sensible heat Thermal Energy Storage (TES), a battery Electrical Energy Storage (EES), and an absorption chiller for the provision of cooling, heating and power to residential buildings, is investigated through an advanced dynamic model developed in MATLAB/Simulink. In particular, three different control strategies are evaluated: a base-case logic (L1), according to which the EES system is utilised to balance the electric power demand (including supply during outages and storage in case of overproduction) and two alternatives (L2, L3) aimed at improving energy distribution by prioritising EES supply over ORC activation. Seasonal performance variability among the strategies is evident. Under base-case controls (L1), the ORC covers 40−72.5% of electricity demand but faces massive power curtailment during summer due to EES capacity constraints. The deployment of control strategy L2, which prioritises EES activation to cover electricity demand, improves the plant's winter performance, reducing biomass reliance by 4.3% and increasing the utilisation of the latent heat storage capacity. Control scheme L3, which instead ensures priority of the EES to cover the thermal demand, emerges as the most effective strategy achieving annual reductions of 86% in grid exports and 5.8% in biomass consumption, demonstrating superior combination of renewable energy utilisation and overall system efficiency. Therefore, this study highlights the potential of hybrid solar-biomass trigeneration applications at the building-level and the benefits of improving their operation. However, the complexity of the integrated system and its reliance on advanced technologies still result in poor cost-competitiveness
Partecipazione e voice delle persone nelle cooperative. Tra coinvolgimento e sfide organizzative
The complementary role of egocentric and allocentric spatial navigation tasks for the diagnosis of Alzheimer’s disease: A diagnostic meta-analysis
Spatial navigation impairments represent one of the earliest cognitive changes in patients suffering from Alzheimer's disease (AD), with their underlying neural circuits overlapping regions affected by AD neuropathology. Despite substantial evidence suggesting different navigational impairments across the AD continuum, the diagnostic utility of specific spatial strategies as cognitive markers remains poorly investigated. This diagnostic meta-analysis aimed to systematically evaluate the sensitivity and specificity of egocentric, allocentric, and frame-switching navigation deficits in distinguishing individuals with AD from cognitively healthy controls. First, we carried out a systematic search to identify studies assessing spatial navigation across the AD continuum, compared to cognitively healthy controls or non-AD dementias. Nineteen studies, comprising 1884 participants, were included. Then, meta-analyses quantified diagnostic accuracy (sensitivity, specificity, diagnostic odds ratios) of spatial navigation tasks. Results revealed complementary diagnostic profiles across spatial strategies, supporting their complementary use for AD detection. Allocentric tasks demonstrated balanced diagnostic performance, correctly identifying 84 % of AD cases while accurately classifying 83 % of cognitively healthy individuals. Frame-switching tasks provided high AD detection (84 % sensitivity) but reduced specificity (66 %), making them valuable for excluding AD but less reliable for confirming it. Combined egocentric-allocentric tasks achieved the highest specificity (94 %), while egocentric tasks showed good specificity (81 %) but limited sensitivity (72 %), suggesting that egocentric abilities remain preserved until advanced disease stages. Taken together, these findings suggest that a strategic approach to spatial navigation assessment is crucial for AD detection